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173
datasets available to search
ShareScore release 0.9.0
Dataset results
173 results for “evolutionary dynamics”
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription [Spatial transcriptomic]
GEO Series GSE161882. Sus scrofa. 2 samples. Type: Expression profiling by high throughput sequencing; Other.
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription
GEO Series GSE162148. Sus scrofa; Mus musculus; Felis catus; Ovis aries; Oryctolagus cuniculus; Rattus norvegicus; Gallus gallus; Macaca mulatta; Homo sapiens; Canis lupus familiaris; Cavia porcellus. 553 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription [miRNA-Seq]
GEO Series GSE162147. Sus scrofa. 187 samples. Type: Non-coding RNA profiling by high throughput sequencing.
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription [RNA-Seq for pig and rat]
GEO Series GSE162146. Sus scrofa; Rattus norvegicus. 8 samples. Type: Expression profiling by high throughput sequencing.
Evolutionary dynamics of DNA-binding sites and direct target genes of a floral master regulatory transcription factor
GEO Series GSE63464. Arabidopsis thaliana; Arabidopsis lyrata. 12 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Evolutionary dynamics of DNA-binding sites and direct target genes of a floral master regulatory transcription factor [RNA-Seq]
GEO Series GSE63462. Arabidopsis thaliana; Arabidopsis lyrata. 9 samples. Type: Expression profiling by high throughput sequencing.
Evolutionary dynamics of DNA-binding sites and direct target genes of a floral master regulatory transcription factor [ChIP-Seq]
GEO Series GSE63463. Arabidopsis lyrata; Arabidopsis thaliana. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The Repertoire and Dynamics of Evolutionary Adaptations to Controlled Nutrient-Limited Environments in Yeast
GEO Series GSE13435. Saccharomyces cerevisiae. 190 samples. Type: Expression profiling by array; Genome variation profiling by array.
Real-time Evolutionary Landscape of the Bronchial Epithelium and Corresponding Dynamic Immune Cell Alterations in Lung Squamous Cell Carcinogenesis
GEO Series GSE287159. Rattus norvegicus. 10 samples. Type: Expression profiling by high throughput sequencing.
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription [RNA-Seq across species]
GEO Series GSE162142. Macaca mulatta; Felis catus; Canis lupus familiaris; Cavia porcellus; Mus musculus; Rattus norvegicus; Gallus gallus; Ovis aries; Oryctolagus cuniculus. 142 samples. Type: Expression profiling by high throughput sequencing.
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription [RNA-Seq pig]
GEO Series GSE162145. Sus scrofa. 194 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Rate, spectrum, and evolutionary dynamics of spontaneous epimutations
GEO Series GSE64463. Arabidopsis thaliana. 19 samples. Type: Methylation profiling by high throughput sequencing; Third-party reanalysis.
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription [human Hi-C]
GEO Series GSE162139. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Evolutionary dynamics of polyadenylation signals and their recognition strategies in protist
GEO Series GSE260731. Giardia muris; Entamoeba histolytica; Naegleria gruberi; Giardia duodenalis; Trichomonas vaginalis; Tritrichomonas foetus. 20 samples. Type: Expression profiling by high throughput sequencing.
Data from: Geographic ranges of genera and their constituent species: structure, evolutionary dynamics, and extinction resistance
We explore the relationships among the geographic ranges of genera, the ranges and positions of their constituent species, and the number of species they contain, considering variation among coeval genera and changes within genera over time. Measuring range size as the maximal distance, or extent, between occurrences within a taxon, we find that the range of the most widespread species is a good predictor of the range of the genus, and that the number of species is a better predictor still. This analysis is complicated by a forced correlation: the range of a genus must be at least as large as that of each of its constituent species. We therefore focus on a second measure of range, the mean squared distance, or dispersion, of occurrences from the geographic centroid, which, by analogy to the analysis of variance, allows the total dispersion of a genus to be compared to the mean within-species dispersion and the dispersion among species centroids. We find that among-species dispersion is the principal determinant of genus dispersion. Within-species dispersion also plays a major role. The role of species richness is relatively small. Our results are not artifacts of temporal variation in the geographic breadth of sampled data. The relationship between changes in genus dispersion and changes in within- and among-species dispersion shows a symmetry, being similar in cases when the genus range is expanding and when it is contracting. We also show that genera with greater dispersion have greater extinction resistance, but that within- and among-species dispersion are not demonstrable predictors of survival once the dispersion of the genus is accounted for. Thus it is the range of the genus, rather than how it is attained, that is most relevant to its fate. Species richness is also a clear predictor of survival, beyond its effects on geographic range.
Data from: Effects of mass extinction and recovery dynamics on long-term evolutionary trends: a morphological study of Strophomenida (Brachiopoda) across the Late Ordovician mass extinction
Mass extinctions affect the history of life by decimating existing diversity and ecological structure and creating new evolutionary and ecological pathways. Both the loss of diversity during these events and the rebound in diversity following extinction had a profound effect on Phanerozoic evolutionary trends. Phylogenetic trees can be used to robustly assess the evolutionary implications of extinction and origination. We examine both extinction and origination during the Late Ordovician mass extinction. This mass extinction was the second largest in terms of taxonomic loss but did not appear to radically alter Paleozoic marine assemblages. We focus on the brachiopod order Strophomenida, whose evolutionary relationships have been recently revised, to explore the disconnect between the processes that drive taxonomic loss and those that restructure ecological communities. A possible explanation for this disconnect is if extinction and origination were random with respect to morphology. We define morphospace using principal coordinate analysis (PCO) of character data from 61 Ordovician-Devonian taxa and their 45 ancestral nodes, defined by a most parsimonius reconstruction in Mesquite. A bootstrap of the centroid of PCO values indicates that genera were randomly removed from morphospace by the Late Ordovician mass extinction, and new Silurian genera were clustered within a smaller previously unoccupied region of morphospace. Diversification remained morphologically constrained throughout the Silurian and into the Devonian. This suggests that the recovery from the Late Ordovician mass extinction resulted in a long-term shift in strophomenide evolution. More broadly, recovery intervals may hold clues to understanding the evolutionary impact of mass extinctions.
Data from: Dynamics of genomic change during evolutionary rescue in the seed beetle Callosobruchus maculatus
Rapid adaptation can be necessary to prevent extinction when populations are exposed to extremely marginal or stressful environments. Factors that affect the likelihood of evolutionary rescue from extinction have been identified, but much less is known about the evolutionary dynamics and genomic basis of successful evolutionary rescue, particularly in multicellular organisms. We conducted an evolve-and-resequence experiment to investigate the dynamics of evolutionary rescue at the genetic level in the cowpea seed beetle, Callosobruchus maculatus, when it is experimentally shifted to a stressful host plant, lentil (Lens culinaris). Low survival (~1%) at the onset of the experiment caused population decline. But adaptive evolution quickly rescued the population with survival rates climbing to 69\% by the F5 generation and 90\% by the F10 generation. Population genomic data showed that rescue likely was caused by rapid evolutionary change at multiple loci, with many alleles fixing or nearly fixing within five generations of selection on lentil. By comparing estimates of selection across five lentil-adapted C. maculatus populations (two new sublines and three long-established lines), we found that adaptation to lentil can involve a mixture of repeated and idiosyncratic evolutionary changes. Parallel evolutionary changes were particularly pronounced in sublines formed after the parent line had passed through an initial bottleneck. Overall, our results suggest that evolutionary rescue in this system can be driven by very strong selection on a modest number of loci, and these results provide empirical evidence that ecological dynamics during evolutionary rescue can cause distinct evolutionary trajectories and genomic signatures.
Sequential Therapies Modeled on Evolutionary Dynamics for Breast Cancer
ClinicalTrials.gov study NCT06409390. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of the Ecological and Evolutionary Dynamics of Escherichia Coli in the Digestive Commensal Flora
ClinicalTrials.gov study NCT05153824. IPD Sharing: NO. Countries: 1. Publications: 0.
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription [RNA-Seq human]
GEO Series GSE162143. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.